Robotic Multifinger Grasping State Recognition Based on Adaptive Multikernel Dictionary Learning-Reference-Cited by-同舟云学术

Robotic Multifinger Grasping State Recognition Based on Adaptive Multikernel Dictionary Learning

Author:

Xiong Pengwen¹^ORCID,Tong Xiaobao²^ORCID,Song Aiguo³^ORCID,Liu Peter X.⁴^ORCID

Affiliation:

1. School of Advanced Manufacturing, Nanchang University, Nanchang, China

2. School of Information Engineering, Nanchang University, Nanchang, China

3. School of Instrument Science and Engineering, Southeast University, Nanjing, China

4. Department of Systems and Computer Engineering, Carleton University, Ottawa, Canada

Funder

National Natural Science Foundation of China

Jiangxi Province Innovation Project for Graduate

Academic and Technical Leaders Foundation of Major Disciplines of Jiangxi Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

Reference27 articles.

3. The feeling of success: Does touch sensing help predict grasp outcomes?;calandra;Proc 1st Annu Conf Robot Learn (CoRL),2017

5. Non-matrix tactile sensors: How can be exploited their local connectivity for predicting grasp stability?;zapata-impata;arXiv 1809 05551,2018

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